给高薪，实习生才愿意承受大厂那套高压节奏；同时，这也是最低成本的"长周期面试"。

1、乐鱼APP 没人想到，这个决定真的在几年后救了北方华创的命。

第二种是事件兑现。乐鱼APP很多客户一年采购的容量不止1EB，节省下来的成本非常可观，这也是他们越来越关注大容量硬盘的重要原因。

2、山东融汇集团“爱岗爱企 敬业奉献 责任担当”主题活动深入推进

另外，中矿资源（002738.SZ）、融捷股份（002192.SZ）、赣锋锂业（002460.SZ）、雅化集团（002497.SZ）的增幅也均在7倍以上。

3、儿童ARTI诊疗新共识发布！专家解读核心要点

评估依次经过方案生成、程序化计算校验、受控湿实验以及电泳与测序确认，覆盖11个模型和4个失去有害功能良性代理构建体，最终以物理可执行性证据验证组装流程。

4、“躺着别动，把骨头养好！”这句话，可能正在偷走你的肌肉

谈及此事，他表示球队必须像享受胜利时一样，体面地接受失败。

5、混沌的中前场糟糕的后防线，泰山1 比 3 不敌大连英博遭双杀

尽管北方华创和中微公司暂未发布上半年业绩预告，但从长川科技的爆发式增长中不难窥见：刻蚀、薄膜沉积、测试等半导体设备市场，正随着AI需求的旺盛而进入新一轮扩张周期。

The crowded, snake-like queue at WAIC led to a single attraction: an AI guitar capable of "improvisational jamming." During the 2026 World Artificial Intelligence Conference (WAIC), the annual updated edition of the Tianpule AI Guitar made its public debut. Over the same period, Quwan Technology, the parent company behind the instrument, released the Tianpule Large Model V4.7, pushing music-focused foundation models toward a new frontier where they can "understand revision feedback." It was unmistakable to anyone on the floor that this year’s WAIC generated unprecedented buzz. Yet the AI industry itself, having weathered countless hype cycles and technical trends, is bidding farewell to the hollow "compute arms race." The commercial value of large models is finally being realized within vertical, domain-specific scenarios. Industry observers are increasingly turning their focus toward a path distinct from general-purpose large language models: vertical integration. Compared with tech giants basking in haloed reputations and star AI startups boasting eye-watering valuations, vertical AI developers have quietly stepped into the center stage of the AI era. Grounded in user scenarios and equipped with self-sustaining revenue capabilities, they have emerged as pragmatic, viable models for the industry. By anchoring its strategy strictly on AI music and AI voice, and extending those capabilities into AI hardware, Quwan Technology offers a compelling case study of this trajectory. Bidding Farewell to the Compute Arms Race: A New Narrative in Vertical AI Commercialization The standard competitive posture in the large-model arena has long been a classic arms race: parameter count, context window length, and multimodal capabilities served as explicit metrics of a company’s worth. By this year, however, this model of horizontal expansion has hit diminishing marginal returns. On one hand, general-purpose models suffer from worsening homogeneity, and products that rely solely on model API outputs struggle to build user stickiness. On the other hand, as AI penetrates deep into everyday life rather than acting merely as a productivity tool, technology must be embedded into concrete scenarios to solve real pain points. Quwan Technology abandoned the illusion of building a jack-of-all-trades general platform, choosing instead to double down on two vertical domains characterized by high emotional value and dense interaction: AI music and AI voice. Though operating in different tracks, their underlying logic is remarkably similar: humanity’s most natural, non-textual modes of expression have long been constrained by professional barriers, and both possess an inherent capacity to stretch from digital content into physical hardware. The foundation of Quwan’s AI music ecosystem is the proprietary Tianpule Large Model. Steering clear of open-source fine-tuning, Quwan built the model from scratch to optimize for real-time interaction, laying the groundwork for a conversational creative experience powered by AI agents. During WAIC 2026, Quwan rolled out Tianpule Large Model V4.7, making AI-generated music far easier to control and iterate upon. Across two evaluation frameworks, Meta Audiobox Aesthetics and SongEval, V4.7 earned high marks in metrics such as content enjoyment, memorability, and vocal clarity, while ranking in the top tier for musicality, coherence, and naturalness. V4.7 powers Tunee, Quwan’s conversational music creation agent. This "conversation as creation" interaction model represents a true breakthrough in its capacity for proactive co-creation. Moving beyond passive "one-click generation" tools, Tunee acts more like a patient, music-savvy collaborator. Since its official launch last September, Tunee’s official website has maintained over a million monthly visits, making it one of the fastest-growing breakout products in China’s AI agent space. What has truly commanded the industry's attention, however, is the Tianpule AI Guitar. As a pioneer in the global generative AI guitar category, it was the first to embed an AI music foundation model into a physical guitar, enabling people without musical training or theory knowledge to experience the joy of playing and composing music. At WAIC 2026, the new Tianpule AI Guitar placed heavy emphasis on its core feature introduced this year: "AI Improvisation." Users can generate personalized music directly on the instrument and jam along, drastically simplifying the complex journey from composition to performance. Coupled with features like AI score transcription and hum-to-song conversion, complete beginners can quickly begin playing and writing music. The industrial significance of the Tianpule AI Guitar extends far beyond consumer electronics. It frees generative AI from behind the glass screen, turning it into a physical object that can be touched, plucked, and felt through resonance. For professional musicians, it serves as a catalyst for inspiration; for novices, it is the first key to unlocking the world of music. As Jasper Jia, Vice President of Quwan Technology, put it: only when ordinary people can use music to express emotions and document their lives as naturally as taking a photo or shooting a video will music truly become an inclusive medium for creation. The physical medium of the guitar allows AI music to step outside smartphones and laptops, truly weaving itself into everyday life. Quwan Technology’s vertical integration has constructed more than just a tech flywheel—where the model grants intelligence to the application, and the application breathes fresh experiences into the hardware. Simultaneously, the hardware feeds real-world user interaction data back into the model, establishing a system-level moat. In truth, AI has already made creation ubiquitous. But how to make good content visible, scalable, and profitable has become the stark reality facing the second half of the AIGC race. Quwan Technology’s answer to that reality is AI voice. In recent years, the overseas expansion of Chinese film and television productions has accelerated rapidly. Dubbing and localization, however, have remained a persistent industry pain point. High quality, high efficiency, and low cost form a classic impossible trinity. Against this backdrop, Quwan Technology collaborated with The Chinese University of Hong Kong, Shenzhen, to develop the MaskGCT voice foundation model. On October 24, 2024, MaskGCT was officially open-sourced to the world via the Amphion framework. Across multiple text-to-speech (TTS) benchmark datasets, MaskGCT achieved state-of-the-art (SOTA) performance, even outperforming human baselines on select metrics. All Voice Lab (Quwan Qianyin) represents the commercial application built atop the MaskGCT model. As a one-stop video translation and AI dubbing platform, All Voice Lab slashes AI translation and dubbing costs by 90% compared with traditional human labor while boosting speed more than 50-fold, handling a monthly translation volume of up to 500,000 minutes (roughly 5,000 drama episodes). Since its launch, All Voice Lab has assisted over 100 film, TV, and animation clients in solving localization hurdles. It processes nearly 10,000 short drama episodes per month across single languages for overseas markets, reaching over 30 countries and regions globally and helping clients boost monthly YouTube channel revenue by 10% to 30%. Driven twin-engine style by AI music and AI voice, Quwan Technology is transitioning into a "new infrastructure" provider for the entertainment industry. It proves that vertical AI companies do not need to serve everyone; by achieving excellence within targeted vertical domains, they can unearth vast commercial value. From Mobile Voice to AI Creation: Quwan’s 12-Year Evolution of "Interest" The first half of Quwan Technology's journey followed a textbook mobile internet success story. Its flagship product, TT Voice, evolved from a simple voice tool designed to help gamers find teammates into an interest-based social platform boasting over 200 million registered users. When the AI wave swept the globe, the company pivoted proactively, laying early groundwork in AI as far back as 2021 to secure its current position as a leader in AI entertainment. The essence of the company’s 12-year evolution represents a strategic leap from "connecting interests" to "creating interests." Yet the underlying logic running through it all has always been a focus on "interest" and a "human-centric" philosophy. For instance, TT Voice’s early positioning was remarkably simple—a "gaming walkie-talkie." But what fundamentally transformed founder Song Ke's understanding of the product’s value was the spontaneous behavior of its users. He noticed that many users did not leave the voice rooms after finishing their games; instead, they stayed to sing, chat, and share their lives. He realized then that while the platform ostensibly solved an efficiency problem ("how to play games better"), it was actually fulfilling an emotional need ("how to connect better with people"). Grounded in this insight, TT Voice quickly evolved from a tool into a community. Beyond gaming matchmaking rooms, it rolled out diverse interest spaces including singing rooms, chat rooms, and audio-visual rooms. In cultivating the social space, Quwan Technology identified an emerging industry trend: the new generation of users was no longer satisfied with merely consuming content; they craved autonomous creation and self-expression. This was no mere hypothesis. On the TT Voice platform, users were already looking beyond finding gaming buddies—they were singing in voice rooms, sharing life moments in chat rooms, and expressing themselves in communities. As AI technology matured, these deeper desires could finally become reality. In the past, completing a song—from lyrics and composition to arrangement, mixing, and recording—demanded specialized skills at every step. Many possessed creative sparks or deep emotions but struggled to translate the melodies in their heads into finished works. In 2024, the team set out from scratch to build "Tianpule," a multimodal music generation model, choosing a self-developed path distinct from open-source fine-tuning. In the AI voice domain, Quwan partnered with CUHK-Shenzhen to open-source the MaskGCT voice model. Quwan develops both AI music and AI voice; it launches AI hardware while maintaining an interest-based social platform with over 200 million registered users. While its business scope appears broad, it is built upon a single, continuously expanding set of core AI interaction capabilities. Across its distinct business lines, Quwan serves diverse sectors—music creation, content globalization, public services, and social networking. From an architectural standpoint, however, they all draw from the same underlying AI interaction capability. Looking back at Quwan Technology's 12-year trajectory, a clear thread emerges: the first half was about "connecting interests"—using interest communities to bring together young people seeking belonging; the second half is about "creating interests"—using AI to lower creative barriers so anyone can convert ideas into digital assets and passion into sustainable expression. Sustaining this arc is not the pursuit of tech trends, but an unwavering understanding of "interest" and "people." Whether with TT Voice or AI music, Quwan’s ethos places user insight ahead of technical R&D. This product philosophy—starting with the human element and designing backward from the ultimate user goal—ensures that technical iterations always revolve around real-world scenarios rather than descending into pure technical rivalry. Moving from "connecting interests" to "creating interests" is not only Quwan Technology’s internal evolution, but also an answer to how technology can truly serve human beings. No matter how technology changes, the essence of business remains constant: to understand people, serve people, and empower people. Conclusion Twelve years ago, Quwan Technology answered one question: How do you help people who love playing games find one another? Twelve years later, it is answering another: How can every ordinary person be given the chance to create their own work and express their unique passions? While the industry remains locked in fierce rivalry over conventional paths—whether single-point tools or general-purpose platforms—Quwan Technology has used vertical integration as an anchor to build a closed-loop "Model-Application-Hardware" ecosystem across AI music and AI voice. This is a direct response to the true nature of AI commercialization: technology can only weave itself into the fabric of everyday life and form a sustainable business model when it penetrates all the way through foundational algorithms, intermediary interactions, and physical hardware devices. (This article was first published on the TMTPost App; author | Li Chengcheng)消费动态 耐克将终止滔搏、宝胜国际在中国内地的线上授权 7月22日，Nike在中国的两家主力经销商：滔搏、宝胜国际发布公告确认，2027年1月1日起，将全面终止 NIKE产品在中国内地线上平台的销售。

运营商正在经历角色变化，过去，客户租用的是服务器、存储和带宽；现在，越来越多企业希望直接获得模型调用能力，或按照 Token 购买服务。

6、医生坦言：每个爱挖鼻孔的人，或早或晚可能承受4个后果，尽早改

现效力于赫罗纳的奥纳希经此一届世界杯后行情回升，正在接手阿贾克斯的米歇尔已点名想要他。

1994年，刚休完产假的初级研究员洛特·克努森（Lotte Bjerre Knudsen）接手了这个多年没有进展的项目。

7、“企泽学子 教润芳华”——烟台高新区企业开展爱心助学行动

趣丸千音（All Voice Lab）正是搭载MaskGCT语音大模型的商业化实践样本。

真正的转折点，出现在2025年底。

8、帅位无忧！英格兰世界杯出局图赫尔仍获全力支持 将率队出战2028欧洲杯

这位2008年出生的中场是红黑军团青训出品的重点培养对象，他在预备队踢了一年后，直接跨过米兰未来队进入意乙锻炼。

金钱从来不是他考虑的第一要素。

如果能成功清理掉托莫里，红黑军团就可以放手去追逐阿莫林心仪已久的伊纳西奥了。

9、“蓝色衬衫”越来越流行！怎么搭都时髦好看

瑞典队的核心竞争力集中在锋线。

罗德里与曼城的现有合同将在明年夏天到期，曼城方面一直希望尽早完成续约。

10、夏天总开空调和忍着不开空调的人，谁更健康？研究发现：高温加速衰老

可以看到，原本的存储上行周期已经脱离涨价基本面，彻底演变成三巨头的价格狂欢。

早在上赛季结束、阿隆索接手球队之前，加纳乔在伦敦西区的未来就已经打上了问号。

1、世界杯第一新星成转会大热！里尔开标价1亿欧元，曼城想买他

即便是2026年世界杯，对费兰来说也不是一帆风顺。

2、皇马最后报价维尼修斯，否则今夏必定离队

一方面，法兰克福向他施加了巨大压力，希望这位功勋总监能够留任继续带领球队前进；另一方面，米兰目前的管理层架构和建队思路也让这位德国经理人产生了顾虑，他与朗尼克的要求一样，需要对转会市场100%的掌控权，显然该条件无法得到满足。

3、阿根廷足球困局：人才断档、资金短缺、足协贪腐，下一届世界杯怎么办？

魔笛对续约的要求是获得欧冠资格，同时进行强力引援。穆帅让步，同意皇马BOSS心腹平图斯留队任职，2人尚需磨合实际上，俱乐部今年春天还从波特兰伐木工签下了大卫·阿亚拉，意图填补布斯克茨留下的空缺，但这名阿根廷球员的表现并不理想。

4、淬炼应急硬功 守护汛期坦途

这种不确定性很可能会影响球员的备战状态，甚至可能导致一些核心球员产生离队的想法。

5、10部短片、60余个真实故事，《抖音里的人》成都展映会拉开帷幕

扩产仍在继续，只是扩产资格正在被重新定义：只有具备技术壁垒、利润积累和全球合规能力的企业，才有底气在他人“踩刹车”时继续“踩油门”。

6、齐达内即将接任法国国家队，瓜迪奥拉接手英格兰队只是传闻

但曦智科技登陆资本市场时最受瞩目的是光计算技术，据了解，这也是该公司一直以来聚焦的方向。

场上的表现是一回事，击败巴西是一回事，但我觉得，我们将挪威放到了世界的版图上，这才是最触动我的。

1/8决赛面对埃及更是一度两球落后，最终凭借梅西的传射与恩佐的补时头球完成让二追三的惊天逆转。

7、法国vs西班牙前瞻：法国渴望复仇，四叉戟状态上佳，无惧西班牙

这种摆大巴加反击的战术虽然观赏性不足，但实战效果很好。

”林夏说道。

8、比赛今晚开打，申花队却遭当头一棒，妥妥坏消息，晋级足协杯8强悬了

两队世界排名仅相差2位，整体实力极为接近，一边是群星云集的传统豪门巴西，一边是创下足坛不败神迹的铁血黑马摩洛哥，堪称小组赛首轮最具看点的巅峰较量！ 一、两队实力定位：排名胶着，无绝对弱者 目前FIFA世界排名中，巴西位列第6位，摩洛哥位列第8位，区区2名的排名差距，足以说明两队的硬实力处于同一梯队，这也是本场比赛最大的看点之一。

考虑到第一张黄牌来自顶撞裁判，阿根廷将为少打一人付出多大代价，时间也给出了答案。

德尚在新闻发布会上表示：“这支西班牙队实力极强，他们在今晚证明了这一点。

旧一点的词在追溯病因，新一点的词在争夺人生的解释权。